Staff Engineer, App Store Analytics & Data Engineering
Apple
Software Engineering, Data Science
Cupertino, CA, USA
USD 181,100-318,400 / year + Equity
Posted on Apr 2, 2026
The App Store is the world’s safest and most vibrant app marketplace, serving more than 850 million visitors each week. Since the App Store launched in 2008, it has helped creators, dreamers, and learners of all ages and backgrounds connect with the tools and technology they need to build a brighter future and a better world. The team continues to innovate the platform - which is home to over 2 million apps in over 40 languages and 175 regions around the world. A significant driver of the global economy, the App Store facilitates over $1 trillion in developer billings and sales annually, rewarding developers and entrepreneurs for their hard work and creativity. And we believe we’re just getting started! The App Store Analytics & Data Engineering team builds privacy-first advertising and measurement systems at Apple scale - enabling developers to reach users, measure campaign effectiveness, and drive growth on our platform. We are seeking an experienced, innovative, and driven architect / leading engineer to define vision and push the boundaries of privacy-preserving measurement technologies driving both trust and utility for our users and app developers.
In this role you will design and lead implementation of core mechanisms that support marketing measurement in a privacy-preserving environment. This role requires strong systems thinking, careful consideration of trade-offs, and the ability to translate complex ideas into simple, scalable platform capabilities. You will work at the intersection of system architecture, privacy engineering, and advertising ecosystem - shaping how measurement frameworks evolve at global scale. The ideal candidate possesses a deep understanding of the advertising technology landscape, a passion for data-driven measurement, a proven ability to contribute to and communicate a compelling product vision, and a deep commitment to user privacy.
- Design, build, and evolve scalable privacy-preserving measurement systems that achieve utility with user privacy guarantees
- Define and extend core platform capabilities (e.g., attribution, aggregation, and reporting) for use by large-scale ecosystem
- Translate architectural concepts into clear and usable platform APIs, analyze system behavior at scale to ensure robustness, efficiency, and consistency
- Partner with cross-functional engineering, product, policy, and legal teams to drive product & technical vision, align on requirements and ensure end-user satisfaction
- Clearly communicate complex technical concepts and trade-offs to diverse audiences, including senior leadership, to set direction and drive decisions
- Analyze trade-offs between accuracy, performance, and privacy, and guide decision-making with data and experimentation
- 10+ years of experience in software engineering
- Demonstrated ability to define and drive long-term technical strategy, influencing product direction and engineering roadmaps
- Proven track record of leading the design and delivery of complex, high-impact data or measurement platforms at global scale
- Deep expertise in distributed systems and data warehousing concepts (Java, Python, Spark, Trino, Hadoop, Cassandra, Kafka, Snowflake)
- Strong SQL, data analysis and visualization skills to define hypotheses, evaluate experiments, measure business impact, and communicate insights effectively
- Hands-on knowledge of the advertising technology ecosystem, including attribution, measurement, and optimization methodologies
- Exceptional communication and leadership skills, with experience influencing senior leadership and aligning cross-functional stakeholders
- Bachelor’s degree in Computer Science, Computer Engineering or equivalent experience
- Experience designing or deploying privacy-enhancing technologies such as differential privacy, federated learning, secure multi-party computation, or on-device intelligence
- Understanding of privacy related regulations and policies (e.g., GDPR, CCPA) and their impact on system design
- Participation in industry standards committees focused on privacy or advertising measurement
- Deep expertise in advertising measurement domains such as attribution modeling, incrementally testing, conversion measurement, or campaign optimization
- Experience building publicly facing platforms or APIs with a focus on usability, scalability, and ecosystem adoption
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.